Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 34,701 to 34,710 of 221,633 articles

InverseDraping: Recovering Sewing Patterns from 3D Garment Surfaces via BoxMesh Bridging

arXiv
Recovering sewing patterns from draped 3D garments is a challenging problem in human digitization research. In contrast to the well-studied forward process of draping designed sewing patterns using mature physical simulation engines, the inverse proc... read more 

A Unified Perspective on Adversarial Membership Manipulation in Vision Models

arXiv
Membership inference attacks (MIAs) aim to determine whether a specific data point was part of a model's training set, serving as effective tools for evaluating privacy leakage of vision models. However, existing MIAs implicitly assume honest query i... read more 

EnsemHalDet: Robust VLM Hallucination Detection via Ensemble of Internal State Detectors

arXiv
Vision-Language Models (VLMs) excel at multimodal tasks, but they remain vulnerable to hallucinations that are factually incorrect or ungrounded in the input image. Recent work suggests that hallucination detection using internal representations is m... read more 

PaveBench: A Versatile Benchmark for Pavement Distress Perception and Interactive Vision-Language Analysis

arXiv
Pavement condition assessment is essential for road safety and maintenance. Existing research has made significant progress. However, most studies focus on conventional computer vision tasks such as classification, detection, and segmentation. In rea... read more 

NavCrafter: Exploring 3D Scenes from a Single Image

arXiv
Creating flexible 3D scenes from a single image is vital when direct 3D data acquisition is costly or impractical. We introduce NavCrafter, a novel framework that explores 3D scenes from a single image by synthesizing novel-view video sequences with ... read more 

STRNet: Visual Navigation with Spatio-Temporal Representation through Dynamic Graph Aggregation

arXiv
Visual navigation requires the robot to reach a specified goal such as an image, based on a sequence of first-person visual observations. While recent learning-based approaches have made significant progress, they often focus on improving policy head... read more 

ViraHinter: a dual-modal artificial intelligence framework for predicting virus-host interactions

arXiv
Protein-protein interactions (PPIs) between a virus and its host govern infection, replication, and pathogenesis. While high-throughput mapping has identified thousands of virus-host associations, much of the virus-host interactome remains uncharacte... read more 

Adaptive Local Frequency Filtering for Fourier-Encoded Implicit Neural Representations

arXiv
Fourier-encoded implicit neural representations (INRs) have shown strong capability in modeling continuous signals from discrete samples. However, conventional Fourier feature mappings use a fixed set of frequencies over the entire spatial domain, ma... read more 

HairOrbit: Multi-view Aware 3D Hair Modeling from Single Portraits

arXiv
Reconstructing strand-level 3D hair from a single-view image is highly challenging, especially when preserving consistent and realistic attributes in unseen regions. Existing methods rely on limited frontal-view cues and small-scale/style-restricted ... read more 

Few-Shot Distribution-Aligned Flow Matching for Data Synthesis in Medical Image Segmentation

arXiv
Data heterogeneity hinders clinical deployment of medical image analysis models, and generative data augmentation helps mitigate this issue. However, recent diffusion-based methods that synthesize image-mask pairs often ignore distribution shifts bet... read more